CASE STUDYIndustrial Production

AI Camera Solutions for Forklift Safety

Discover how AI forklift safety cameras help detect collision risks in real time, reduce blind spots, improve pedestrian safety, and enhance warehouse and factory operational efficiency.

70%
Reduce near-miss situations.
80%
Reducing risks associated with pedestrians.
24/7
Continuous monitoring at intersections and blind spots.

CUSTOMER OVERVIEW

The customer is an enterprise operating in the industrial manufacturing and logistics sector, where forklifts are continuously used to transport pallets, raw materials, and finished goods between production areas, warehouses, and loading/unloading zones.

In high-density operational environments, forklifts frequently move through narrow aisles, intersections, and blind spots caused by warehouse racks, pallets, or bulky goods. At the same time, pedestrians and forklifts constantly interact within the same workspace, increasing the risk of collisions and workplace accidents.

Previously, the company mainly relied on manual observation, convex mirrors, warning horns, and the experience of forklift drivers to ensure operational safety. However, traditional methods were unable to meet real-time monitoring requirements in fast-paced and continuous operational environments.

The company required a solution capable of proactively detecting collision risks, expanding forklift visibility, and providing real-time early warnings to minimize accident risks while maintaining continuous operational efficiency across factories and warehouses.

SOLUTION – EYEFIRE SAFETY

The company deployed EYEFIRE’s AI Forklift Safety Camera System to proactively detect collision risks and provide real-time operational warnings.

The system uses AI cameras mounted directly on forklifts to detect people, vehicles, and obstacles through Computer Vision AI, helping expand driver visibility and reduce blind spots at intersections, narrow aisles, and obstructed warehouse areas.

When a risk is detected, the system automatically analyzes the level of danger and sends visual alerts directly inside the forklift cabin. In addition, fixed AI cameras installed at critical areas help monitor beyond direct line-of-sight and improve early hazard detection capabilities.

SOLUTION HIGHLIGHTS

  • Real-time detection of people, forklifts, and obstacles
  • 360° monitoring around the forklift
  • Risk analysis using Computer Vision AI
  • Visual alerts through display screens, sound alarms, and warning lights
  • Expanded monitoring zones using fixed AI cameras
  • Optional slowdown or emergency stop integration
  • No radar, lidar, or wearable devices required
  • Flexible deployment and easy integration with existing systems

SOLUTION ARCHITECTURE

SOLUTION ARCHITECTURE

HOW IT WORKS

01

AI Cameras Capture Real-Time Images

02

Data Is Transmitted to the AI Processing Hub

03

AI Engine Detects People, Forklifts, and Obstacles

04

AI Analyzes Risk Levels

05

Real-Time Alerts Are Activated

06

Supports Safe and Proactive Operations

OUTCOMES

70%

Reduce near-miss situations.

80%

Reducing risks associated with pedestrians.

24/7

Continuous monitoring at intersections and blind spots.

KEY OUTCOMES

  • Real-time hazard warnings
  • Support for drivers in detecting risks beyond direct visibility
  • Faster response times at intersections and narrow aisles
  • Improved compliance with forklift safety procedures
  • Maintained operational efficiency without disrupting warehouse activities
  • Support for incident investigation and operational review when necessary

IN PRODUCTION

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